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Optimized node selection for compressive sleeping wireless sensor networks


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Authors

Chen, W 
Wassell, IJ 

Abstract

In this paper, we propose an active node selection framework for compressive sleeping wireless sensor networks (WSNs) in order to improve signal acquisition performance, network lifetime and the use of spectrum resources. While conventional compressive sleeping WSNs only exploit the spatial correlation of SNs, the proposed approach further exploits the temporal correlation by selecting active nodes using the support of the data reconstructed in the previous time instant. The node selection problem is framed as the design of a specialized sensing matrix, where the sensing matrix consists of selected rows of an identity matrix. By capitalizing on a genie-aided reconstruction procedure, we formulate the active node selection problem into an optimization problem, which is then approximated by a constrained convex relaxation plus a rounding scheme. Simulation results show that our proposed active node selection approach leads to an improved reconstruction performance, network lifetime and spectrum usage in comparison to various node selection schemes for compressive sleeping WSNs.

Description

This is the author accepted manuscript. The final version is available from IEEE via http://dx.doi.org/10.1109/TVT.2015.2400635

Keywords

Compressed sensing, energy efficiency, wireless sensor networks

Journal Title

IEEE Transactions on Vehicular Technology

Conference Name

Journal ISSN

0018-9545
1939-9359

Volume Title

PP

Publisher

Institute of Electrical and Electronics Engineers (IEEE)
Sponsorship
Engineering and Physical Sciences Research Council (EP/K033700/1)